A novel SAR and optical image fusion algorithm based on an improved SPCNN and phase congruency information

• Published in: International journal of remote sensing Vol. 44; no. 4; pp. 1328 - 1347
• Main Authors: Fu, Yukai, Yang, Shuwen, Li, Yikun, Yan, Heng, Zheng, Yao
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 16.02.2023; Taylor & Francis Ltd
• Subjects: Algorithms; Coefficients; Computer vision; Images fusion; Methods; Multisensor fusion; Neural networks; phase congruency information; pulse-coupled neural networks; Remote sensing; SAR and optical images; Saturation; Saturation (color); Spatial data; Visual effects

The noise and significant spectral differences lead to severe spectral and spatial information distortions in the fusion result of SAR and optical images. We propose a fusion method based on phase congruency information and an improved, simplified pulse-coupled neural network (PC-SPCNN). The PC-SPCN...